Triple
T2888666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Fonda |
E59566
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fonda |
E172653
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fonda | Statement: [Henry Fonda, familyName, Fonda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fonda Context triple: [Henry Fonda, familyName, Fonda]
-
A.
Francesca Eastwood
Francesca Eastwood is an American actress, model, and television personality, and the daughter of filmmaker Clint Eastwood.
-
B.
Jane Fonda
chosen
Jane Fonda is an acclaimed American actress, political activist, and fitness guru known for her Academy Award–winning film roles and influential workout videos.
-
C.
Wyler
Wyler is a surname most notably associated with William Wyler, the acclaimed film director known for classics such as "Ben-Hur" and "Roman Holiday."
-
D.
Nicholson
Nicholson is a surname of English and Scottish origin, traditionally meaning "son of Nicholas."
-
E.
Clift
Clift is a surname most famously associated with American actor Montgomery Clift, a prominent figure of mid-20th-century cinema known for his intense, emotionally nuanced performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04918908190aad08defd1b26d97 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317601688190a8a99644579b137c |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:04 p.m.